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Direct linkOtto, Siegmar; Körner, Franziska; Marschke, Beatrice A.; Merten, Martin J.; Brandt, Steffen; Sotiriou, Sofoklis; Bogner, Franz X. – International Journal of Science Education, 2020
For scholars and policy-makers alike, deeper learning has been a promising paradigm for fostering students' interest in and mastery of science, technology, engineering, and mathematics (STEM). Deeper learning is assumed to result in a more thorough understanding of a subject that endures the test of time. To reach this level, a fascination with…
Descriptors: Science Education, Grade 6, STEM Education, Learning Processes
Karkkainen, Riitta; Raty, Hannu; Kasanen, Kati – Scandinavian Journal of Educational Research, 2011
This study set out to examine parents' perceptions of the malleability of their child's academic competencies. A total of 97 mothers and fathers were asked to rate their child's potential for improving her/his competencies in mathematics and Finnish, using both intrapersonal and interpersonal criteria in their ratings. These two criteria were…
Descriptors: Parent Attitudes, Academic Ability, Finno Ugric Languages, Mathematics Skills
Download full textStamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
